Pregnancies with an outcome of fetal death present higher risk of delays in obstetric care: A case-control study

Investigation of stillbirths in Brazil: A systematic scoping review of the causes and related reporting processes in the past decade

BACKGROUND

Recognizing the causes of stillbirths and their associated conditions is essential to reduce its occurrence.

OBJECTIVE

To describe information on stillbirths in Brazil during the past decade.

SEARCH STRATEGY

A literature search was performed from January 2010 to December 2020.

SELECTION CRITERIA

Original observational studies and clinical trials.

DATA COLLECTION AND ANALYSIS

Data were manually extracted to a spreadsheet and descriptive analysis was performed.

RESULTS

A total of 55 studies were included; 40 studies (72.2%) used the official data stored by national public health systems. Most articles aimed to estimate the rate and trends of stillbirth (60%) or their causes (55.4%). Among the 16 articles addressing the causes of death, 10 (62.5%) used the International Classification of Diseases; most of the articles only specified the main cause of death. Intrauterine hypoxia was the main cause reported (ranging from 14.3% to 54.9%).

CONCLUSION

Having a national system based on compulsory notification of stillbirths may not be sufficient to provide quality information on occurrence and, especially, causes of death. Further improvements of the attribution and registration of causes of deaths and the implementation of educational actions for improving reporting systems are advisable. Finally, expanding the investigation of contributing factors associated with stillbirths would create an opportunity for further development of prevention strategies in low- and middle-income countries such as Brazil.

Cause and risk factors of early neonatal death in Ethiopia

Background

Globally, three fourth of neonatal deaths occur during the early neonatal period, this makes it a critical time to reduce the burden of neonatal death. The survival status of a newborn is determined by the individual (neonatal and maternal), and facility-level factors. Several studies were conducted in Ethiopia to assess early neonatal death; however, most of the studies had limited participants and did not well address the two main determinant factors covered in this study. In response to this gap, this study attempted to examine factors related to early neonatal death based on perinatal death surveillance data in consideration of all the possible determinants of early neonatal death.

Methods

The national perinatal death surveillance data were used for this study. A total of 3814 reviewed perinatal deaths were included in the study. Bayesian multilevel parametric survival analysis was employed to identify factors affecting the survival of newborns during the early neonatal period. Adjusted time ratio (ATR) with 95% Bayesian credible intervals (CrI) was reported and log-likelihood was used for model comparison. Statistical significance was declared based on the non-inclusion of 1.0 in the 95% CrI.

Result

More than half (52.4%) of early neonatal deaths occurred within the first two days of birth. Per the final model, as gestational age increases by a week the risk of dying during the early neonatal period is reduced by 6% [ATR = 0.94,95%CrI:(0.93–0.96)]. There was an increased risk of death during the early neonatal period among neonates deceased due to birth injury as compared to neonates who died due to infection [ATR = 2.05,95%CrI:(1.30–3.32)]; however, perinates who died due to complication of an intrapartum event had a lower risk of death than perinates who died due to infection [ATR = 0.87,95%CrI:(0.83–0.90)]. As the score of delay one and delay three increases by one unit, the newborn’s likelihood of surviving during the early neonatal period is reduced by 4% [ATR = 1.04,95%CrI:(1.01–1.07)] and 21% [ATR = 1.21,95%CrI:(1.15–1.27)] respectively. Neonates born from mothers living in a rural area had a higher risk of dying during the early neonatal period than their counterparts living in an urban area [ATR = 3.53,95%CrI:(3.34–3.69)]. As compared to neonates treated in a primary health facility, being treated in secondary [ATR = 1.14,95%CrI:(1.02–1.27)] and tertiary level of care [ATR = 1.15,95%CrI:(1.04–1.25)] results in a higher risk of death during the early neonatal period.

Conclusion

The survival of a newborn during the early neonatal period is determined by both individual (gestational age, cause of death, and delay one) and facility (residence, type of health facility and delay three) level factors. Thus, to have a positive early neonatal outcome, a tailored intervention is needed for the three major causes of death (i.e Infection, birth injury, and complications of the intrapartum period). Furthermore, promoting maternal health, improving the health-seeking behaviour of mothers, strengthening facility readiness, and narrowing down inequalities in service provision are recommended to improve the newborn’s outcomes during the early neonatal period.

Perinatal mortality and its predictors in Kersa Health and Demographic Surveillance System, Eastern Ethiopia: population-based prospective study from 2015 to 2020

OBJECTIVE

Perinatal mortality is an important outcome indicator for newborn care and directly mirrors the quality of prenatal, intra partum and newborn care. Therefore, this study was aimed at estimating perinatal mortality and its predictors in Eastern Ethiopia using data from Kersa Health and Demographic Surveillance System (KHDSS).

DESIGN, SETTINGS AND PARTICIPANTS

An open dynamic cohort design was employed among pregnant women from 2015 to 2020 at KHDSS. A total of 19 687 women were observed over the period of 6 years, and 29 719 birth outcomes were registered.

OUTCOME MEASURES

Perinatal mortality rate was estimated for each year of cohort and the cumulative of 6 years. Predictors of perinatal mortality are identified.

RESULTS

From a total of 29 306 births 783 (26.72 deaths per 1000 births; 95% CI 24.88 to 28.66) deaths were occurred during perinatal period. Rural residence (adjusted OR (AOR)=3.43; 95% CI 2.04 to 5.76), birth weight (low birth weight, AOR=3.98; 95% CI 3.04 to 5.20; big birth weight, AOR=2.51; 95% CI 1.76 to 3.57), not having antenatal care (ANC) (AOR=1.67; 95% CI 1.29 to 2.17) were associated with higher odds of perinatal mortality whereas the parity (multipara, AOR=0.46; 95% CI 0.34 to 0.62; grand multipara, AOR=0.31; 95% CI 0.21 to 0.47) was associated with lower odds of perinatal mortality.

CONCLUSIONS

The study revealed relatively high perinatal mortality rate. Place of residence, ANC, parity and birth weight were identified as predictors of perinatal mortality. Devising strategies that enhance access to and utilisations of ANC services with due emphasis for rural residents, primipara mothers and newborn with low and big birth weights may be crucial for reducing perinatal mortality.

Determinants of stillbirth among reviewed perinatal deaths in Ethiopia

BACKGROUND

The global burden of stillbirth has declined over time. However, the problem is still prominent in South Asian and Sub-Saharan African countries. Ethiopia is one of the top stillbirth-reporting countries worldwide. Despite several measures taken to reduce the burden of stillbirth; the pace of decline was not as good as the post-neonatal death. Thus, this study is aimed at identifying potential factors related to stillbirth in Ethiopia based on nationally reviewed perinatal deaths.

METHOD

The national perinatal death surveillance data were used for this study. A total of 3,814 reviewed perinatal death were included in the study. Two model families,namely generalized estimating equation, and alternating logistic regression models from marginal model family were employed to investigate the risk factors of stillbirth. The alternating logistic regression model was selected as the best fit for the final analysis.

RESULT

Among reviewed perinatal deaths nearly forty percent (37.4%) were stillbirths. The findings from the multivariate analysis demonstrated that the place of birth (in transit and at home), cause of death (infection, and congenital and chromosomal abnormalities), maternal health condition (women with complications of pregnancy, placenta, and cord), delay one (delay in deciding to seek care) and delay three (delay in receiving adequate care) were associated with an increased risk of having a stillbirth. On the other hand, maternal education (women with primary and above education level) and the type of health facility (women who were treated in secondary and tertiary health care) were associated with a decreased risk of having a stillbirth.

CONCLUSION

The study identified that both individual (place of delivery, cause of death, maternal health condition, maternal education, and delay one) and facility level (type of health facility and delay three) factors contributed to stillbirth outcome. Therefore, policies that are aimed at encouraging institutional delivery, improving health seeking behavior, and strengthening facility-level readiness should be devised to reduce the high burden of stillbirth in Ethiopia.

Delays in obstetric care increase the risk of neonatal near-miss morbidity events and death: a case-control study

Background

To evaluate the association between delays in obstetric care and neonatal near-miss mortality events and death in a public maternity referral center.

Methods

This case-control study enrolled 142 neonates, meeting the near-miss criteria of 5-min Apgar < 7, weight < 1500 g, gestational age < 32 weeks, and use of mechanical ventilation or congenital malformation, as well as 284 controls (without the near-miss criteria), at a ratio of 1:2. After follow-up, the following outcomes were reclassified: survival of the neonatal period without the near-miss criteria (true “controls”), “near-miss,” and “neonatal death.” Maternal sociodemographic characteristics, prenatal care, and pregnancy resolution were evaluated. Pearson’s chi-square and Fisher’s exact tests were used. Simple logistic regression was performed to determine the association between the three delay factors with near-miss outcomes and/or neonatal death. The variables that had maintained values of p < 0.05 were subjected to multinomial logistic regression.

Results

Comparisons revealed the following associations: for controls and near-miss events, delayed access to health services due to a lack of specialized services (odds ratio [OR], 3.0; 95% confidence interval [CI], 1.8–5.1) and inappropriate conduct with the patient (OR, 12.1; 95% CI, 1.3–108.7); for controls and death, absent or inadequate prenatal care (OR, 3.3; 95% CI, 1.6–7.1) and delayed access to health services due to a lack of specialized services (OR, 2.5; 95% CI, 1.1–5.6); and for near-miss events and death, absent or inadequate prenatal care (OR, 2.2; 95% CI, 1.0–5.0). Logistic regression for the combined outcome (near-miss plus neonatal deaths) revealed absent or inadequate prenatal care (OR, 1.9; 95% CI, 1.2–2.8), lack of specialized services (OR, 2.8; 95% CI, 1.7–4.5), and improper conduct with the patient (OR, 10.6; 95% CI, 1.2–91.8).

Conclusions

The delays in obstetric care associated with the presence of near-miss and/or neonatal death included absent or inadequate prenatal care, delayed access to health services due to a lack of specialized services, and inappropriate conduct with the patient.